Research
Joint iterative beamforming and power adaptation for MIMO ad hoc networks
1 Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
2 Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, WV, USA
EURASIP Journal on Wireless Communications and Networking 2011, 2011:79 doi:10.1186/1687-1499-2011-79
Published: 26 August 2011Abstract
In this paper, we present distributed cooperative and regret-matching-based learning schemes for joint transmit power and beamforming selection for multiple antenna wireless ad hoc networks operating in a multi-user interference environment. Under the total network power minimization criterion, a joint iterative approach is proposed to reduce the mutual interference at each node while ensuring a constant received signal-to-interference and noise ratio at each receiver. In cooperative and regret-matching-based power minimization algorithms, transmit beamformers are selected from a predefined codebook to minimize the total power. By selecting transmit beamformers judiciously and performing power adaptation, the cooperative algorithm is shown to converge to a pure strategy Nash equilibrium with high probability in the interference impaired network. The proposed cooperative and regret-matching-based distributed algorithms are also compared with centralized solutions through simulation results.
